Artifact Distillation: Boosting Small Models Without Fine-Tuning
Researchers have proposed 'Artifact Distillation,' a method where frontier models externalize their reasoning into an 'artifact bank.' Smaller models query this bank at inference time to improve performance without requiring expensive model retraining or gradient updates.